2005 Fiscal Year Final Research Report Summary
Differential diagnosis of hepatic tumors by pattern-based classification according to Bayes theorem
| Project/Area Number |
16590612
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Gastroenterology
|
|---|
| Research Institution | Yokohama City University |
|---|
Principal Investigator |
TANAKA Katsuaki Yokohama City University, Medical Center, Professor (10201617)
|
|---|
| Project Period (FY) |
2004 – 2005
|
| Keywords | Bayes theorem / contrast-enhanced US / pattern-based classification / hepatic tumors / differential diagnosis |
|---|
| Research Abstract |
We prospectively evaluated the usefulness of a pattern-based classification of contrast-enhanced US according to Bayes theorem for differential diagnosis of hepatic tumors. After injecting a galactose-palmitic acid contrast agent, the enhancement patterns of the initial 303 lesions were classified retrospectively, and multiple logistic regression analysis was used to identify enhancement patterns that allowed differentiation between hepatic tumors. We then used the pattern-based classification of enhancement we had retrospectively devised to prospectively diagnose 283 liver tumors. Seven enhancement patterns were found to be significant predictors of different hepatic tumors. The presence of homogeneous or heterogeneous enhancement both in the arterial and portal phase was the typical enhancement pattern for hepatocellular carcinoma, while the presence of peritumoral vessels in the arterial phase and ring enhancement or a perfusion defect in the portal phase was the typical enhancement pattern for metastases, and the presence of peripheral nodular enhancement both in the arterial and portal phase was the typical enhancement pattern for hemangioma. The sensitivity, specificity, and accuracy of prospective diagnosis based on the combinations of enhancement patterns were 93.2%, 96.2%, and 94.0%, respectively, for hepatocellular carcinoma, 87, 9%, 99.6%, and 98.2%, for metastasis, and 95.6%, 94.1%, and 94.3%, for hemangioma. The pattern-based classification of the contrast-enhanced US findings is useful for differentiating among hepatic tumors.
|
Research Products
(7 results)
-
-
-
-
[Journal Article] Evaluation using contrast-enhanced harmonic gray-scale sonography-after radio frequency ablation of small hepatocellular carcinoma : sonographic-histopathologic correlation.2005
Author(s)
Morimoto M, Nozawa A, Numata K, Shirato K, Sugimori K, Kokawa A, Tomita N, Saito T, Nakatani Y, Imada T, Tanaka K.
-
Journal Title
J Ultrasound Med 24(3)
Pages: 273-283
Description
「研究成果報告書概要(欧文)」より
-
-
[Journal Article] Differential diagnosis of hepatic tumors by using contrast enhancement patterns at US.2003
Author(s)
Isozaki T, Numata K, Kiba T, Hara K, Morimoto M, Sakaguchi T, Sekihara H, Kubota T, Shimada H, Morizane T, Tanaka K.
-
Journal Title
Radiology 229(3)
Pages: 798-805
Description
「研究成果報告書概要(欧文)」より
-
